Sudden event emergency information mining method based on social media

Abstract

The present invention discloses a sudden event emergency information mining method based on social media. The method comprises the steps of (S1) using an open platform API or a web crawler to acquire social media data, the social media data being a document set; (S2) using a MongoDB cluster to store the document set; (S3) preprocessing the document set; (S4) using an LDA to mark the preprocessed document set, and obtaining a known sample; (S5) forming a word characteristic set by all words in each document of the known sample, word frequency of each word characteristic in the document being the weight of the word characteristic in the document; (S6) constructing a short text real-time classification model; (S7) classifying real-time sudden events by using the short text classification model, and predicting themes of the sudden events; and (S8) performing information mining according to the social media data of the classified sudden events. Classification of social media short texts can be automatically and rapidly achieved, and therefore sudden event emergency information is mined.

Description

technical field [0001] The present invention relates to the technical field of social media, in particular to a social media-based emergency information mining method for emergencies. Background technique [0002] Emergencies refer to natural disasters, accidental disasters, public health incidents and social security incidents that occur suddenly, cause or may cause serious social harm, and require emergency measures to deal with them. With the acceleration of industrialization and urbanization in our country, emergencies continue to occur. At the same time, my country is one of the countries most seriously affected by natural disasters in the world. There are many types of disasters and high frequency of occurrence, and the losses caused by natural disasters are huge every year. [0003] According to the data released by the National Disaster Reduction Office of the Ministry of Civil Affairs, in 2014 alone, various natural disasters caused a total of 243.537 million perso...

AI Technical Summary

Problems solved by technology

Its shortcomings are mainly manifested in: the collection process lacks public participation and feedback, and the information source is relatively single; the timeliness of collection is low, and even any information about the event cannot be obtained in time for a period of time after the emergency occurs, such as major natural disasters; information dissemination The direction is from the official to the public, showing a one-way flow, lack of feedback and communication

These deficiencies make it difficult for traditional emergency information to meet the needs of timely, effective and reasonable handling of emergencies.

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